Wednesday Nov 1, 2023
The development of an integrated land and sea masterplan (green economic growth) is structured around planning units.
Each planning unit is defined by a range of specific characteristics, derived from multiple layers of spatial data.
The concept of “Regional Typology” identifies common characteristics—whether in villages, districts, or special units—that guide the formulation of both planning units and strategy or intervention recommendations.
The planning process involves a continuous flow of data and information from macro to meso to micro levels, and vice versa.
The masterplan will include a range of tailored strategies and on-site interventions, reflecting the specific needs of each planning unit.
| Criteria | Regional Typologies | Regional Indexes |
|---|---|---|
| What it is | Categorises areas based on similar socio-economic, environmental, or institutional characteristics. | A single, composite measure that quantifies the level of vulnerability to a threat. |
| Outcome | Classifications like “urban area” or “rural area.” | Numerical score ranking areas from low to high vulnerability. |
| Use-case | Tailoring policies or interventions to different types of areas. | Prioritising aid, resources, or interventions based on the ranking |
| Caveats | Can oversimplify complexities; subject to analyst bias. | May not capture the full situation; choice of indicators and weightings can be arbitrary. |
| Complementary aspects | Provides rich, contextual information. | Pinpoints areas needing immediate attention. |
Assessing and Characterizing Climate Vulnerabilities in Agriculture-Based Livelihoods: South Sulawesi
Aim: Analyze vulnerabilities of agriculture livelihoods at the provincial level; identify key risks, root causes, and adaptation strategies.
Approach: Define locations with similar biophysical and socio-economic characteristics as ‘typologies’ using PCA & K-means clustering.
Area of Interest: South Sulawesi province
Unit of Analysis: Sub-district (Kecamatan)
| No | Feature | Source | Unit |
|---|---|---|---|
| 1 | Distance to plantation | Land cover map 2020, MoEF | m |
| 2 | Distance to road | BIG | m |
| 3 | Distance to commodity processing factory | ICRAF (2016) | m |
| 4 | Distance to plantation concession | South Sulawesi Government | m |
| 5 | Distance to forest | Land cover map 2020, MoEF | m |
| 6 | Distance to river | BIG | m |
| 7 | Distance to burned area | MoEF, 2019 | m |
| 8 | Percentage of agricultural area (small holder) | Land cover map 2020, MoEF | % |
| 9 | Percentage of plantation area per sub-district | Land cover map 2020, MoEF | % |
| 10 | Percentage of forested area in the sub-district | Land cover map 2020, MoEF | % |
| 11 | Percentage of shrubland in the sub-district | Land cover map 2020, MoEF | % |
| 12 | Percentage of water area compared to sub-district area | Land cover map 2020, MoEF | % |
| 13 | Distance to deforestation | Land cover map 2020, MoEF | m |
| 14 | Deforestation area size | Land cover map 2020, MoEF | km2 |
| 15 | Arable land | Land cover map 2020, MoEF | % |
| 16 | Erosion | RUSLE | t ha-1 yr-1 |
| 17 | Flood hazard index | RBI BNPB | index value |
| 18 | Land slide hazard index | RBI BNPB | index value |
| 19 | Aridity index | WORLDCLIM 2.1 | index value |
| 20 | Number of Households | Potensi desa BPS 2019 | number |
| 21 | Electrification ratio | Potensi desa BPS 2019 | % |
| 22 | High school | Potensi desa BPS 2019 | number |
| 23 | University | Potensi desa BPS 2019 | number |
| 24 | Hospital | Potensi desa BPS 2019 | number |
| 25 | Health facility | Potensi desa BPS 2019 | number |
| 26 | Market | Potensi desa BPS 2019 | number |
| 27 | Minimarket | Potensi desa BPS 2019 | number |
| 28 | Landslide events 2018-2019 | Potensi desa BPS 2019 | events/year |
| 29 | Landslide fatalities 2018-2019 | Potensi desa BPS 2019 | people/year |
| 30 | Flood events 2018-2019 | Potensi desa BPS 2019 | events/year |
| 31 | Flood fatalities 2018-2019 | Potensi desa BPS 2019 | people/year |
| 32 | Flash flood events 2018-2019 | Potensi desa BPS 2019 | events/year |
| 33 | Flash flood fatalities 2018-2019 | Potensi desa BPS 2019 | people/year |
| 34 | Land and forest fire events 2018-2019 | Potensi desa BPS 2019 | events/year |
| 35 | Land and forest fire fatalities 2018-2019 | Potensi desa BPS 2019 | people/year |
| 36 | Land drought events 2018-2019 | Potensi desa BPS 2019 | events/year |
| 37 | Land drought fatalities 2018-2019 | Potensi desa BPS 2019 | people/year |
| 38 | Natural disaster early warning systems | Potensi desa BPS 2019 | Number |
| 39 | Percentage natural disaster early warning systems | Potensi desa BPS 2019 | % |
| 40 | Reservoir | Potensi desa BPS 2019 | number |
| 41 | Village markets | Potensi desa BPS 2019 | number |
| 42 | Number of people suffering from malnutrition 2018 | Potensi desa BPS 2019 | individuals |
| 43 | Annual mean temperature | WORLDCLIM 2.1 | °C |
| 44 | Temperature changes | WORLDCLIM 2.1 & MRI-ESM2-0 SSP 245 2050s | °C |
| 45 | Annual mean precipitation | WORLDCLIM 2.1 | mm |
| 46 | Precipitation changes | WORLDCLIM 2.1 & MRI-ESM2-0 SSP 245 2050s | mm |
| 47 | Households in the lowest 40% of the economic bracket | National Team for the Acceleration of Poverty Reduction | % |
| 48 | Distance to irrigated land | Ministry of Public Works and Housing | m |
| 49 | Percentage of irrigated land | Ministry of Public Works and Housing | % |
| 50 | Wet months | WORLDCLIM 2.1 | months |